CLIMADA Documentation#

The CLIMADA documentation consists of .rst files and Jupyter Notebooks. It is built into an HTML webpage by the Sphinx package.

The online documentation is automatically built when the main or develop branch are updated. Additionally, documentation previews will be built for every pull request on GitHub, and will be displayed under “Checks”.

Note that the online documentation allows you to switch versions. By default, you will see the stable version, which refers to the latest release. You can switch to latest, which refers to the latest version of the develop branch.

Local Build#

You can also build and browse the documentation on your machine. This can be useful if you want to access the documentation of a particular feature branch or to check your updates to the documentation.

For building the documentation, you need to follow the advanced installation instructions. Make sure to install the developer requirements as well.

Then, activate the climada_env and navigate to the doc directory:

conda activate climada_env
cd climada_python/doc

Next, execute make (this might take a while when executed for the first time)

make html

The documentation will be placed in doc/_build/html. Simply open the page doc/_build/html/index.html with your browser.

Updating the Documentation Environment for

The online documentation is built by Their servers have a limited capacity. In the past, this capacity was exceeded by Anaconda when it tried to resolve all dependencies for CLIMADA. We therefore provided a dedicated environment with fixed package versions in requirements/env_docs.yml. As of commit 8c66d8e4a4c93225e3a337d8ad69ab09b48278e3, this environment was removed and the online documentation environment is built using the specs in requirements/env_climada.yml. If this should fail in the future, revert the changes by 8c66d8e4a4c93225e3a337d8ad69ab09b48278e3 and update the environment specs in requirements/env_docs.yml with the following instructions.

For re-creating the documentation environment, we provide a Dockerfile. You can use it to build a new environment and extract the exact versions from it. This might be necessary when we upgrade to a new version of Python, or when dependencies are updated. NOTE: Your machine must be able to run/virtualize an AMD64 OS.

Follow these instructions:

  1. Install Docker on your machine.

  2. Enter the top-level directory of the CLIMADA repository with your shell:

    cd climada_python
  3. Instruct Docker to build an image from the doc/create_env_doc.dockerfile:

    docker build -f doc/create_env_doc.dockerfile -t climada_env_doc ./
  4. Run a container from this image:

    docker run -it climada_env_doc
  5. You have now entered the container. Activate the conda environment and export its specs:

    conda activate climada_doc
    conda env export

    Copy and paste the shell output of the last command into the requirements/env_docs.yml file in the CLIMADA repository, overwriting all its contents.